Seasonal-Mean Wind-Driven Circulation On The Newfoundland And Labrador Shelf
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author.Linear finite element models are implemented for the Newfoundland and Labrador Shelf to investigate barotropic wind-driven circulation. Long-term monthly-mean wind-driven circulation is computed with wind stresses from the NCEP-NCAR reanalysis data prescribed at the sea surface and corresponding large-scale remote forcing specified at the open boundary determined from a North Atlantic model. The model solutions are discussed for annual-mean circulation features, seasonal variations and the relative importance of local to remote forcing. The model solutions show a shelf-edge current and an inshore current, both of which directed equatorward. The cross-shelf flows and anticyclonic circulation over shallow banks are evident as a consequence of topographic steering. There are strong seasonal variations in the Labrador Current, strongest in the December and weakest in July. The model shelf-edge Labrador Current is predominated by the remote forcing, while the local wind forcing plays a significant role in the inshore Current. The model transport for the primary shelf-scale flows is examined against previous model results and in situ observations. The wind forcing contributes significantly to not only the inshore branch of the Labrador Current but also the shelf-edge branch.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".